Budget Pick
Apple M2 Ultra192 GB VRAM · ~5.4 tok/s
Lowest cost that meets recommended VRAM
Check price on AmazonCompatibility Check
Qwen3 235B A22B is a 235B parameter model from the Qwen family. Check if your hardware can handle it.
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Social proof
2% of 996 scanned PCs run Qwen3 235B A22B fully on GPU.
218 keep at least some work on GPU. Based on anonymous compatibility checks.
Beginner tip: minimum values mean the model can start, while recommended values usually feel smoother during real use. VRAM is your GPU's dedicated memory; RAM is your system memory used as fallback. See the full glossary.
| Quantization | File Size | Min VRAM | Recommended VRAM | Min RAM | Context |
|---|---|---|---|---|---|
| Q4_K_MEasiest | 117.5 GB | 135.1 GB | 152.8 GB | 177 GB | 8K / 8K |
| Q5_K_M | 146.9 GB | 168.9 GB | 191 GB | 221 GB | 8K / 8K |
| Q8_0 | 235 GB | 270.3 GB | 305.5 GB | 353 GB | 8K / 8K |
| FP16 | 470 GB | 540.5 GB | 611 GB | 705 GB | 8K / 8K |
Not sure your GPU has enough VRAM? Compare GPUs that can run Qwen3 235B A22B.
These GPUs meet the recommended 152.8 GB VRAM for the Q4_K_M quantization. Estimated speeds are approximate and assume full GPU offloading.
Budget Pick
Apple M2 Ultra192 GB VRAM · ~5.4 tok/s
Lowest cost that meets recommended VRAM
Check price on AmazonFastest Pick
Apple M4 Ultra256 GB VRAM · ~7.4 tok/s
Highest estimated throughput
Check price on AmazonBest Value
Apple M3 Ultra192 GB VRAM · ~5.4 tok/s
Best speed per dollar of VRAM
Check price on AmazonNeed a detailed comparison? See all GPU rankings for Qwen3 235B A22B.
Strong OpenClaw Model Candidate
Qwen3 235B A22B is a common OpenClaw pick for local agent workflows. Use this model with Ollama, llama.cpp, or LM Studio, then confirm full OpenClaw hardware compatibility.
Why choose Qwen3 235B A22B?
General-purpose local model brief
Quantization tip: Benchmark at least two quantizations and validate with a task-specific eval set before production use.